Course contents: Introduction to optimization. Introduction to mathematical modeling. Graphical method. Simplex method. Duality theory. Robustness analysis. Extensions of linear programming (network, game and transportation problems). Computer applications.

Assessment: Written exams at the end of the semester. It is possible that home assignments will be given, which will contribute to the final grade with a percentage ranging between 35% and 50%.